Search Results - subject:"gradient boosting"

A generalized linear model and machine learning approach for predicting the frequency and severity of cargo insurance in Thailand's border trade context

Praiya Panjee; Sataporn Amornsawadwatana - In: Risks : open access journal 12 (2024) 2, pp. 1-33

to comprehensively assess predictive performance. For frequency prediction, extreme gradient boosting (XGBoost …) demonstrates the lowest MAE, indicating higher accuracy compared to gradient boosting machines (GBMs) and a generalized linear … magnitudes compared to gradient boosting machines (GBMs) and a generalized linear model (Poisson). Conversely, the generalized …

Persistent link: https://www.econbiz.de/10014497395

A meta-learning based stacked regression approach for customer lifetime value prediction

Gadgil, Karan; Gill, Sukhpal Singh; Abdelmoniem, Ahmed M. - In: Journal of economy and technology 1 (2023), pp. 197-207

Companies across the globe are keen on targeting potential high-value customers in an attempt to expand revenue, and this could be achieved only by understanding the customers more. Customer lifetime value (CLV) is the total monetary value of transactions or purchases made by a customer with the...

Persistent link: https://www.econbiz.de/10014555514

Gradient boosting for Dirichlet regression models

Balzer, Michael; Bergherr, Elisabeth; Hutter, Swen; … - In: AStA Advances in Statistical Analysis (2025) Online first articles

been introduced. In this article, we propose a novel model-based gradient boosting approach for Dirichlet regression models …

Persistent link: https://www.econbiz.de/10015406293

Enhanced efficiency assessment in manufacturing : leveraging machine learning for improved performance analysis

Guillen, Maria D.; Charles, Vincent; Aparicio, Juan - In: Omega : the international journal of management science 134 (2025), pp. 1-13

Persistent link: https://www.econbiz.de/10015407656

Scalable machine learning framework for predicting critical links in urban networks

Bachir, Nourhan; Zaki, Chamseddine; Harb, Hassan; … - In: Journal of innovation & knowledge : JIK 10 (2025) 3, pp. 1-13

-> MoST and ~66% for MoST -> LuST). Random Forest and Gradient Boosting emerged as the top-performing models, consistently …

Persistent link: https://www.econbiz.de/10015413931

Short term forecasting of base metals prices using a LightGBM and a LightGBM - ARIMA ensemble

Oikonomou, Konstantinos; Damigos, Dimitris - In: Mineral economics : raw materials report 38 (2025) 1, pp. 37-49

Persistent link: https://www.econbiz.de/10015446151

Short-term forecasting of the JSE All-Share Index using gradient boosting machines

Mukhaninga, Mueletshedzi; Ravele, Thakhani; Sigauke, Caston - In: Economies : open access journal 13 (2025) 8, pp. 1-25

This study applies Gradient Boosting Machines (GBMs) and principal component regression (PCR) to forecast the closing …

Persistent link: https://www.econbiz.de/10015447938

Estimating non-overfitted convex production technologies : a stochastic machine learning approach

Guillen, Maria D.; Charles, Vincent; Aparicio, Juan - In: European journal of operational research : EJOR 323 (2025) 1, pp. 224-240

Persistent link: https://www.econbiz.de/10015415547

Spatial process-based transfer learning for prediction problems

Murakami, Daisuke; Kajita, Mami; Kajita, Seiji - In: Journal of geographical systems : geographical … 27 (2025) 1, pp. 147-166

Persistent link: https://www.econbiz.de/10015332251

Dynamic financial valuation of football players : a machine learning approach across career stages

Khalife, Danielle; Yammine, Jad; Chbat, Elias; Zaki, … - In: International Journal of Financial Studies : open … 13 (2025) 2, pp. 1-17

player's career. This study examines these determinants using Gradient Boosting Machine Learning models, segmented by three …

Persistent link: https://www.econbiz.de/10015433940